Stars
Fully Probabilistic Framework for Uncertainty Quantification in LLMs
Explaining similarity in vision-language encoders with weighted Banzhaf interactions (NeurIPS 2025)
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
HyperSHAP is a holistic framework for explaining hyperparameter optimization based on Shapley values and interactions.
General Framework for Regional Explanations
Main Repository for the SimBricks Modular Full-System Simulation Framework.
A Living Benchmark for Machine Learning on Tabular Data
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Utility package to create lazy modules, deferring associated imports until attribute access
Open-source Python, TypeScript, and Go SAST with dead code detection. Finds secrets, exploitable flows, and AI regressions. VS Code extension, GitHub Action, and MCP server for AI agents.
Effector - a Python package for global and regional effect methods
Feedback Forensics: An open-source toolkit to measure AI personality
Explaining the output of machine learning models with more accurately estimated Shapley values
A performant NumPy extension for Galois fields and their applications
4C: A Comprehensive Multiphysics Simulation Framework
A general purpose 3D beam finite element input generator
Scoring Lists – a probabilistic & incremental extension to Scoring Systems
Uncertainty Representation and Quantification for Machine Learning 🤔
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
scikit-learn: machine learning in Python
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A python-based framework for multi-target prediction